VRIFY is positioned at the forefront of the mining industry's transformation, leveraging cutting-edge AI to revolutionize mineral exploration. With a focus on AI drill targeting, VRIFY is expanding its capabilities by synthesizing vast amounts of geological information. This integration enhances the precision and efficiency of exploration strategies, offering our clients innovative solutions that depart from traditional methods. Our mission extends beyond technological advancement. We are committed to transforming how mining companies engage with investors, aiming to foster a more transparent and accountable mining investment ecosystem. VRIFY's technology enables immersive 3D and 360° presentations that provide investors with a vivid and detailed visual context, making complex geological data accessible and engaging. As we continue to refine our AI-driven solutions, VRIFY remains dedicated to driving innovation and excellence in the mining sector, ensuring our clients and investors are well-equipped to succeed in a rapidly evolving market. As our APAC Senior Geologist you will be an integral member of our AI Team and at the forefront of blending traditional geological expertise with modern data analytics. Your contributions will be vital in transforming raw data into actionable insights, thereby influencing decision-making processes in exploration ventures. Your role will primarily focus on data compilation and interpretation, serving as a geological expert within a team that thrives on data-driven insights. You'll play a key role in synthesizing geological information to support our AI-driven targeting solutions, driving innovation in exploration strategies for our clients. Key Responsibilities Compile and synthesize geological data from various sources to support analysis and prospectivity modeling efforts. Work with our clients to assist in the application of geological context to prospectivity modeling outputs, providing an exceptional customer experience. Interpret geological data within the context of broader data science objectives, providing insights and recommendations. Work collaboratively with data scientists and developers to integrate geological understanding into predictive models and analytical tools. Participate in the development and refinement of data compilation methodologies to improve efficiency and accuracy. Contribute geological expertise to cross-disciplinary projects, ensuring that geoscience perspectives are represented and valued. Qualifications Education: Bachelor’s or Master’s degree (preferred) in Geology, Geosciences, or related fields. Geological Expertise: Demonstrated experience (5 years minimum) in geological data compilation and interpretation for exploration, with a strong understanding of various geological environments. Technical Skills: Competence in GIS, remote sensing tools, and familiarity with databases. Exposure to data analysis software (e.g., Python, R) is a plus. Collaborative/Communication Skills: Ability to work effectively as part of a multidisciplinary remote team and with our clients, bridging the gap between geology and data science. Analytical Thinking: Strong analytical and critical thinking skills, with a keen eye for detail and a systematic approach to problem-solving. What We Offer: Superannuation and performance bonuses Paid Time Off (PTO): Including vacation days, personal days, public holidays plus extra time during holiday season. Work-Life Balance: Work-Life Balance: Flexible work hours and option to use work space in our West Perth office Fitness/Work from Home Annual Spending Allowance Terms of employment Full-time, Permanent Location: Remote - Australia - Perth Completion of a background check will be required for this position. Must be legally entitled to work in Australia Professional references are required for this position Important Note: This position is hybrid/remote. However, please note that eligibility for this role is restricted to individuals who are currently based in Australia (Perth preferred) and are authorized to work in the country. A mandatory 2 weeks on-site training with our Canada-based AI Team will be required, as will periodic travel for team interfacing. We are committed to supporting our team's work-life balance through remote work while adhering to employment regulations. If you meet these criteria and are excited about this opportunity, we encourage you to apply.
